Katrina Ligett - Google Scholar

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	All	Since 2015
Citations	2649	1669
h-index	24	22
i10-index	32	31

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Co-authors

Aaron RothProfessor of Computer Science, University of PennsylvaniaVerified email at cis.upenn.edu
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Zhiwei Steven WuUniversity of MinnesotaVerified email at umn.edu
Rachel CummingsGeorgia Institute of TechnologyVerified email at gatech.edu
Eyal Even-DarVerified email at final.co.il
Howard KarloffGoldman SachsVerified email at cc.gatech.edu
Adam Tauman KalaiMicrosoft ResearchVerified email at microsoft.com
Christine ChungAssociate Professor of Computer Science, Connecticut CollegeVerified email at conncoll.edu
Siddharth BarmanDepartment of Computer Science and Automation, IIScVerified email at iisc.ac.in
Giorgos ChristodoulouUniversity of LiverpoolVerified email at liv.ac.uk
Kunal TalwarAppleVerified email at kunaltalwar.org
Anupam GuptaProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Georgios PiliourasSingapore University of Technology and DesignVerified email at sutd.edu.sg
Moritz HardtUniversity of California, BerkeleyVerified email at berkeley.edu
Juba ZianiUniversity of Pennsylvania -- Warren Center for Network and Data SciencesVerified email at seas.upenn.edu
David ApplegateLead Member of Technical Staff, AT&T Labs -- ResearchVerified email at research.att.com
David S. JohnsonVisiting Professor, Columbia University Computer Science DepartmentVerified email at research.att.com
Sham M KakadeUniversity of WashingtonVerified email at cs.washington.edu
Grant SchoenebeckUniversity of MichiganVerified email at umich.edu
Bo WaggonerUniversity of Colorado, BoulderVerified email at colorado.edu

Katrina Ligett

Hebrew University

Verified email at mail.huji.ac.il


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A learning theory approach to noninteractive database privacy A Blum, K Ligett, A Roth Journal of the ACM (JACM) 60 (2), 1-25, 2013	649	2013
A simple and practical algorithm for differentially private data release M Hardt, K Ligett, F McSherry Advances in Neural Information Processing Systems, 2339-2347, 2012	314	2012
Aerial observations of the evolution of ice surface conditions during summer DK Perovich, WB Tucker III, KA Ligett Journal of Geophysical Research 107 (C10), 8048, 2002	181	2002
Routing without regret: On convergence to Nash equilibria of regret-minimizing algorithms in routing games A Blum, E Even-Dar, K Ligett Theory of Computing 6 (1), 179-199, 2010	156*	2010
Regret minimization and the price of total anarchy A Blum, MT Hajiaghayi, K Ligett, A Roth Proceedings of the fortieth annual ACM symposium on Theory of computing, 373-382, 2008	147	2008
Differentially private combinatorial optimization A Gupta, K Ligett, F McSherry, A Roth, K Talwar Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete …, 2010	141*	2010
Compressing rectilinear pictures and minimizing access control lists DA Applegate, G Calinescu, DS Johnson, H Karloff, K Ligett, J Wang Society for Industrial and Applied Mathematics, 2007	100	2007
Privacy and data-based research O Heffetz, K Ligett Journal of Economic Perspectives 28 (2), 75-98, 2014	84	2014
Playing games with approximation algorithms SM Kakade, AT Kalai, K Ligett SIAM Journal on Computing 39 (3), 1088-1106, 2009	82	2009
Take it or leave it: Running a survey when privacy comes at a cost K Ligett, A Roth International Workshop on Internet and Network Economics, 378-391, 2012	71	2012
A Tale of Two Metrics: Simultaneous Bounds on Competitiveness and Regret. L Andrew, S Barman, K Ligett, M Lin, A Meyerson, A Roytman, A Wierman Conference on Learning Theory 30, 741-763, 2013	60	2013
Penalizing unfairness in binary classification Y Bechavod, K Ligett arXiv preprint arXiv:1707.00044, 2017	57*	2017
Differential privacy with compression S Zhou, K Ligett, L Wasserman 2009 IEEE International Symposium on Information Theory, 2718-2722, 2009	53	2009
Beyond the Nash Equilibrium Barrier. RD Kleinberg, K Ligett, G Piliouras, É Tardos ICS, 125-140, 2011	48	2011
Adaptive learning with robust generalization guarantees R Cummings, K Ligett, K Nissim, A Roth, ZS Wu Conference on Learning Theory, 772-814, 2016	45	2016
Buying private data without verification A Ghosh, K Ligett, A Roth, G Schoenebeck Proceedings of the fifteenth ACM conference on Economics and computation …, 2014	44	2014
Truthful Linear Regression R Cummings, S Ioannidis, K Ligett Conference on Learning Theory 40, 2015	36	2015
Privacy and coordination: computing on databases with endogenous participation A Ghosh, K Ligett Proceedings of the fourteenth ACM conference on Electronic commerce, 543-560, 2013	32	2013
Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM S Wu, A Roth, K Ligett, B Waggoner, S Neel Journal of Privacy and Confidentiality 9 (2), 2019	29*	2019
Putting peer prediction under the micro (economic) scope and making truth-telling focal Y Kong, K Ligett, G Schoenebeck International Conference on Web and Internet Economics, 251-264, 2016	29	2016

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